Clinical trials: Deep Learning, open to volunteers
Colon Cancer Patients
Spectral Precise Image-Colon Cancer
This is a single-center, comparative, observational study. Datasets will be collected from patients with pathologically confirmed colon cancer who undergo abdomen-pelvis enhanced spectral CT scan.
- Trial name
- NCT07620444
- Testing
- This is an observational study
- Where
- China
- Volunteers
- 100 people
- Sponsor
- Philips Clinical & Medical Affairs Global
Sarcopenia, Body Composition
Validation of a Body-Composition Segmentation Software on a Diverse Public CT Scan Cohort
This study evaluates the standalone performance of Soma, a deep-learning software developed by Nucleo Research, Inc. for the automated segmentation of body-composition tissues (skeletal muscle, subcutaneous adipose tissue…
- Conditions
- Sarcopenia, Body Composition, Obesity
- Trial name
- SOMA (NCT07600866)
- Testing
- Soma Body-Composition Segmentation Software
- Where
- United States
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Nucleo Research, Inc.
Otalgia, Otitis Media
Validating and AI Software for Assessment of Children With Ear Concerns
The goal of this observational study is to determine if the Glimpse machine learning algorithm can accurately assess ear diseases in children.
- Conditions
- Otalgia, Otitis Media, Otitis Media Effusion
- Trial name
- NCT07243093
- Volunteers
- 658 people
- Sponsor
- Glimpse Diagnostics, Inc.
Aortic Stenosis
Multicenter Study for the Validation of Willem AI: Aortic StenoSis Early Diagnosis With AI-electrocardiogram Study
AoS-SEDAI study is an observational, multicenter, retrospective and prospective clinical study. This study aims to assess Willem Artificial Intelligence (AI) ability to distinguish between aortic stenosis (AS) and non-AS patients…
- Trial name
- AoS-SEDAI (NCT07479992)
- Testing
- Willem AI ECG assessment
- Where
- 2 sites in Germany
- Volunteers
- 5,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Cardiac
Spectral Precise Image Study for Coronary Artery
This is a single-center, comparative, observational, retrospective data study. Datasets from patients who underwent spectral coronary CT angiography (CCTA) for suspected coronary artery disease (CAD) or other diagnosis needs as…
- Trial name
- NCT07620457
- Testing
- Non-Interventional Study
- Where
- China
- Volunteers
- 200 people, healthy volunteers welcome
- Sponsor
- Philips Clinical & Medical Affairs Global
Pulmonary Hypertension
Development of an Algorithm to Detect Pulmonary Hypertension Using an Electronic Stethoscope
The major goal of the study is to determine whether phonocardiography (using the Eko DUO stethoscope which can capture a three lead ECG reading) can present features that relate to the presence of PH diagnosed by echocardiography…
- Trial name
- NCT05873387
- Testing
- Use of Eko DUO stethoscope (paired ECG/PCG)
- Where
- 3 sites in United States
- Volunteers
- 2,420 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Ventricular Dysfunction, Left, Ventricular Function, Left
Federated Learning for Point-of-Care Cardiac Ultrasound
This prospective, multicenter study will evaluate a federated machine-learning system designed to analyze focused cardiac point-of-care ultrasound examinations.
- Conditions
- Ventricular Dysfunction, Left, Ventricular Function, Left, Echocardiography, Ultrasonography
- Trial name
- FL-POCUS (NCT07800962)
- Testing
- Focused Cardiac Point-of-Care Ultrasonography, FL-POCUS Federated Machine-Learning Analysis System
- Where
- United States
- Volunteers
- 3,000 people
- Sponsor
- Truway Health, Inc.
Hypertension, Pulmonary, Heart Failure With Reduced Ejection Fraction
Deep Learning Detection of Pulmonary Hypertension and Low Ejection Fraction Via Digital Stethoscope and 3-Lead ECG
This is a prospective, observational study evaluating whether heart sounds (phonocardiograms) and three-lead electrocardiograms (ECGs) recorded using the Eko CORE 500 digital stethoscope can help detect pulmonary hypertension…
- Trial name
- PH ELEFT 2-0 (NCT07087613)
- Testing
- Eko CORE 500 Digital Stethoscope
- Where
- 4 sites in United States
- Volunteers
- 3,850 people
- Sponsor
- Eko Devices, Inc.
Pulmnary Hypertension
Detecting Pulmonary Hypertension With the Eko CORE 500 Digital Stethoscope
This prospective, observational study will evaluate whether synchronized heart sound (phonocardiogram, PCG) and three-lead electrocardiogram (ECG) recordings (entered as separate interventions in PRS, though collected together in…
- Trial name
- EKO-PH (NCT07136623)
- Testing
- Eko CORE 500 phonocardiogram (PCG) recording, Eko CORE 500 three-lead electrocardiogram (ECG) recording
- Where
- 2 sites in United States
- Volunteers
- 1,513 people, healthy volunteers welcome
- Sponsor
- Eko Devices, Inc.
Chronic Coronary Syndrome, Coronary Artery Disease
Feasibility of a Deep Learning-based Algorithm for Non-invasive Assessment of Vulnerable Coronary Plaque
The primary objective of this study is to assess the accuracy in terms of sensitivity, specificity, negative and positive predicted values of the DL-based algorithm with respect to correct identification of the plaque and…
- Conditions
- Chronic Coronary Syndrome, Coronary Artery Disease, Stable Angina, Acute Coronary Syndrome
- Trial name
- FOCUS DL (NCT06186336)
- Testing
- Deep Learning-based Vulnerable Plaque Detection and Assessment Tool
- Where
- Italy
- Volunteers
- 200 people
- Sponsor
- GE Healthcare
High-risk Cardiac Patients
Registry Study for the Evaluation of High-risk Cardiac Patients by WILLEM AI-based ECG Platform
The WILLEM Registry is a large-scale, single-group, observational, registry study to collect continuous clinical evidence of Willem in real-world settings.
- Trial name
- WILLEMRegistry (NCT07333547)
- Testing
- Willem AI ECG assessment
- Where
- 5 sites in United States, Ecuador and 1 more
- Volunteers
- 200,000 people, healthy volunteers welcome
- Sponsor
- Idoven 1903 S.L.
Heart Failure, Cardiomyopathies
Multimodal Physiologic State Intelligence Study
The OMNIPHYS study will investigate whether multimodal ultrasound and other routinely collected clinical and physiologic data can be combined with artificial intelligence to characterize changes in a person's physiologic state…
- Conditions
- Heart Failure, Cardiomyopathies, Pulmonary Hypertension, Myocarditis; Acute or Subacute
- Trial name
- OMNIPHYS (NCT07814118)
- Testing
- OMNIPHYS Multimodal Ultrasound Imaging System
- Where
- United States
- Volunteers
- 25,000 people, healthy volunteers welcome
- Sponsor
- Truway Health, Inc.